For question 3, it would not leak through the whole sandwich because the cell membrane is thick
Answer:
Yes, there is a need to assure the client that this is a normal reaction.
Explanation:
In the given case, it is the duty of a nurse to assure the patient that swelling takes place while performing intradermal vaccination. As with the administration of disease-specific antigens, the injected area inflames that generally takes place due to the development of antibodies against the presented antigens.
Thus, both the patient and the nurse need to be calm in such a situation and should leave the swelling open so that it can get heal by itself. In case, if one applies ice packs or rubs the affected area, it can enhance the condition and may result in more issues.
A mutation in human ATPase 6 from leucine to
arginine at position 156 may allow the movements of protons across the
membrane, but not rotating of the ring of c subunits.
This possible mechanism affect the function of
ATP synthase because there would be an uncoupling of proton translocation and ATP
synthesis. ATP synthase would remain sensitive to F0 proton conduction
inhibitors
Imagine you are surveying a population of a mountain range where the inhabitants live in the valleys with no inhabitants on the large mountains between. If your sample area is the valleys, and you use this to estimate the population across the entire mountain range, <u>you overestimate the actual population size</u>
<u />
Explanation:
- An estimate that turns out to be incorrect will be an overestimate if the estimate exceeded the actual result, and an underestimate if the estimate fell short of the actual result.
- The mean of the sampling distribution of a statistic is sometimes referred to as the expected value of the statistic. Therefore the sample mean is an unbiased estimate of μ.
- Any given sample mean may underestimate or overestimate μ, but there is no systematic tendency for sample means to either under or overestimate μ.
- Bias is the tendency of a statistic to overestimate or underestimate a parameter. Bias can seep into your results for a slew of reasons including sampling or measurement errors, or unrepresentative samples
